Add aws-data-wrangler to "Powered by" section (#71)
diff --git a/powered_by.md b/powered_by.md
index 48731c3..99f55e4 100644
--- a/powered_by.md
+++ b/powered_by.md
@@ -63,6 +63,9 @@
large-scale data processing. Spark uses Apache Arrow to
1. improve performance of conversion between Spark DataFrame and pandas DataFrame
2. enable a set of vectorized user-defined functions (`pandas_udf`) in PySpark.
+* **[AWS Data Wrangler][34]:** Extends the power of Pandas library to AWS connecting
+ DataFrames and AWS data related services such as Amazon Redshift, AWS Glue, Amazon Athena,
+ Amazon EMR, Amazon QuickSight, etc.
* **[Dask][15]:** Python library for parallel and distributed execution of
dynamic task graphs. Dask supports using pyarrow for accessing Parquet
files
@@ -188,3 +191,4 @@
[31]: https://github.com/RandomFractals/vscode-data-preview
[32]: https://github.com/TileDB-Inc/TileDB
[33]: https://github.com/TileDB-Inc/TileDB-VCF
+[34]: https://github.com/awslabs/aws-data-wrangler
